Competencias digitales en los ingresantes a la carrera de Licenciatura en Enfermería

Objetivo: Determinar las habilidades y conocimientos sobre las tecnologías de la información y la comunicación (TIC) de los ingresantes a la carrera de Licenciatura en Enfermería de una institución superior pública de Bahía Blanca, Provincia de Buenos Aires, Argentina. Metodología: Estudio observacional, descriptivo, transversal y cuantitativo. Se implementó un instrumento conformado por 59 preguntas con opciones de respuesta cerrada orientado a valorar las competencias digitales en los ingresantes a la carrera. Resultados: Participaron 386 ingresantes, mayormente de género femenino (85.49 %), del primer ciclo (74.35 %) y con 20 años o menos de edad (47.15 %). El 98.19 % tenía acceso a internet, el 79.27 % tiene computadora y más del 80 % tiene un amplio uso de redes sociales (WhatsApp, Instagram) y correo electrónico. Los ingresantes se autoevaluaron competentes en el programa MS Word, mientras que en MS Excel se declararon menos competentes. Hay desconocimiento y bajo desarrollo de habilidades para generar contenido, y un amplio despliegue de habilidades para buscar y descargar información de la web. La edad, el género, el tiempo diario de uso de internet y el ciclo de ingreso mostraron relación con el dominio de las herramientas digitales aplicadas a la educación. Conclusiones: Se identificó un desarrollo intermedio de competencias digitales aplicadas a la educación, lo que podría ameritar el diseño de programas que nivelen estas habilidades durante el proceso de ingreso o durante la formación.

Objetivo: determinar habilidades e conhecimentos sobre as tecnologias da informação e comunicação (TIC) dos calouros no curso de bacharelado em enfermagem em uma instituição pública de ensino superior na cidade de Bahía Blanca, província de Buenos Aires, Argentina. Metodologia: estudo observacional, descritivo, transversal e quantitativo. Foi utilizado um instrumento composto por 59 perguntas com opções de resposta fechada para avaliar as competências digitais dos calouros do curso. Resultados: Participaram 386 estudantes, em sua maioria do gênero feminino (85,49 %), do primeiro ciclo estudantil (74,35 %) e com idade igual ou inferior a 20 anos (47,15 %). 98,19 % tinham acesso à internet, 79,27 % tinham computador e mais de 80 % usavam amplamente as redes sociais (WhatsApp, Instagram) e o e-mail. Os calouros se auto-avaliaram competentes no programa MS Word, enquanto no MS Excel se declararam menos competentes. Há desconhecimento e baixo desenvolvimento de habilidades para gerar conteúdo e uma ampla demonstração de habilidades para pesquisar e baixar informações da web. A idade, o gênero, o tempo diário de uso da Internet e o ciclo de ingresso estudantil mostraram relação com o domínio das ferramentas digitais aplicadas à educação. Conclusões: Foi identificado um desenvolvimento intermediário de competências digitais aplicadas à educação, o que poderia demandar a concepção de programas que nivelem essas competências durante o processo de admissão ou durante a formação.

Objective: To determine the skills and knowledge about information and communication technologies (ICT) of entrants to the Bachelor's Degree in Nursing at a public higher institution in Bahía Blanca, Province of Buenos Aires, Argentina. Methodology: Observational, descriptive, transversal and quantitative study. An instrument was implemented consisting of 59 questions with closed response options aimed at assessing digital competencies in those entering the career. Results: 386 entrants participated, mostly female (85.49 %), from the first cycle (74.35 %) and 20 years old or younger (47.15%). 98.19 % had access to the internet, 79.27 % have a computer and more than 80 % have extensive use of social networks (WhatsApp, Instagram) and email. The entrants evaluated themselves as competent in the MS Word program, while in MS Excel they declared themselves less competent. There is a lack of knowledge and low development of skills to generate content and a wide range of skills to search and download information from the web. Age, gender, daily time of Internet use and entry cycle showed a relationship with the mastery of digital tools applied to education. Conclusions: An intermediate development of digital competencies applied to education was identified, and a high one for the use of social networks. The variables age, gender, daily time of Internet use and entry cycle were related to the knowledge and skills for using ICT applied to education.

Tecnologias em saúde da hanseníase no âmbito da Atenção Primária à Saúde: revisão de escopo / Leprosy health technologies in Primary Health Care: a scoping review / Tecnologías en salud de la lepra en el ámbito de la Atención Primaria a la Salud: revisión del alcance

Objetivo: mapear as tecnologias em saúde para manejo no cuidado à pessoa com hanseníase na Atenção Primária à Saúde. Método: revisão de escopo baseada na metodologia do JBI, em seis bases de dados, seguindo a checklist Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Foram incluídos estudos publicados em qualquer idioma, com diferentes abordagens metodológicas. Resultados: os 14 estudos incluídos na revisão mostram que a aplicabilidade de tecnologias para o manejo do cuidado a pessoa com hanseníase na Atenção Primária à Saúde, possibilitam a confirmação de diagnóstico, acompanhamento, monitoramento e prevenção de incapacidades. Conclusão: nota-se que tecnologia em saúde se apresentam como ferramentas que auxiliam no processo de cuidado na assistência a pessoas com hanseníase, a fim de permitir aos profissionais de saúde conhecimento sobre a doença, proporcionando qualidade na sua prática de saúde.

Objective: to map health technologies for managing the care of people with leprosy in Primary Health Care. Method: scoping review based on the JBI methodology in six databases, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. Studies published in any language were included, with different methodological approaches. Results: the 14 studies included in the review show that the applicability of technologies for the management of care for people with leprosy in Primary Health Care makes it possible to confirm diagnosis, follow-up, monitoring, and prevention of disabilities. Conclusion: it has been noted that health technologies are tools that help in the process of caring for people with leprosy, to provide health professionals with knowledge about the disease, improving quality of health practice.

Objetivo: mapear las tecnologías en salud para el manejo en el cuidado a la persona con lepra en la Atención Primaria a la Salud. Método: revisión del alcance basada en la metodología del JBI, en seis bases de datos, siguiendo la checklist Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews. Se han incluido estudios publicados en cualquier idioma, con diferentes enfoques metodológicos. Resultados: los 14 estudios incluidos en la revisión muestran que la aplicabilidad de tecnologías para el manejo del cuidado a la persona con lepra en la Atención Primaria a la Salud posibilita la confirmación de diagnóstico, seguimiento, monitoreo y prevención de incapacidades. Conclusión: se percibe que las tecnologías en salud se presentan como herramientas que ayudan en el proceso de cuidado en la asistencia a personas con lepra, con fines de permitir a los profesionales de salud el acceso al conocimiento sobre la enfermedad, proporcionando calidad en su práctica de salud.

Access in all areas? A round up of developments in market access and HTA: part 5.

In this latest update, we explore the recent announcement by Canada's Drug Agency (CDA-AMC, formerly CADTH) on their pilot to include the societal perspective in the evaluation of certain new medicines; a recent Office of Health Economics (OHE) report on the evaluation of HTA agency methods over time; and publications examining the impact of Project Orbis on patient access to oncology treatments.

Modern technology-based exploration of mechanism of traditional Chinese medicine in prevention and treatment of gastric cancer.

This review comments on the article "To explore the mechanism of Yigong San anti-gastric cancer and immune regulation". We are interested that the article applied network pharmacology and bioinformatics techniques to elucidate the mechanism of action of Yigong Sang, a traditional Chinese medicine (TCM), in the treatment of gastric cancer (GC). The mechanism of action of Yigong Sang in the treatment of GC has not yet been elucidated because it is composed of multiple Chinese medicines with multiple components and multiple targets. The emergence of network pharmacology and bioinformatics analysis helps explain the mechanism of action of TCM in preventing and treating GC, and provides a possibility for TCM to transform from empirical to evidence-based medicine. This is of great significance for the application of TCM in oncology, new drug development, formula optimization, and the improvement of clinical efficacy.

Streptococcus anginosus in the development and treatment of precancerous lesions of gastric cancer.

The microbiota is strongly association with cancer. Studies have shown significant differences in the gastric microbiota between patients with gastric cancer (GC) patients and noncancer patients, suggesting that the microbiota may play a role in the development of GC. Although Helicobacter pylori (H. pylori) infection is widely recognized as a primary risk factor for GC, recent studies based on microbiota sequencing technology have revealed that non-H. pylori microbes also have a significant impact on GC. A recent study discovered that Streptococcus anginosus (S. anginosus) is more prevalent in the gastric mucosa of patients with GC than in that of those without GC. S. anginosus infection can spontaneously induce chronic gastritis, mural cell atrophy, mucoid chemotaxis, and heterotrophic hyperplasia, which promote the development of precancerous lesions of GC (PLGC). S. anginosus also disrupts the gastric barrier function, promotes the proliferation of GC cells, and inhibits apoptosis. However, S. anginosus is underrepresented in the literature. Recent reports suggest that it may cause precancerous lesions, indicating its emerging pathogenicity. Modern novel molecular diagnostic techniques, such as polymerase chain reaction, genetic testing, and Ultrasensitive Chromosomal Aneuploidy Detection, can be used to gastric precancerous lesions via microbial markers. Therefore, we present a concise summary of the relationship between S. anginosus and PLGC. Our aim was to further investigate new methods of preventing and treating PLGC by exploring the pathogenicity of S. anginosus on PLGC.

Enhancing transjugular intrahepatic portosystemic shunt procedure efficiency with digital subtraction angiography image overlay technology in esophagogastric variceal bleeding.

BACKGROUND: Transjugular intrahepatic portosystemic shunt (TIPS) is a pivotal intervention for managing esophagogastric variceal bleeding in patients with chronic hepatic schistosomiasis. AIM: To evaluate the efficacy of digital subtraction angiography image overlay technology (DIT) in guiding the TIPS procedure. METHODS: We conducted a retrospective analysis of patients who underwent TIPS at our hospital, comparing outcomes between an ultrasound-guided group and a DIT-guided group. Our analysis focused on the duration of the portosystemic shunt puncture, the number of punctures needed, the total surgical time, and various clinical indicators related to the surgery. RESULTS: The study included 52 patients with esophagogastric varices due to chronic hepatic schistosomiasis. Results demonstrated that the DIT-guided group experienced significantly shorter puncture times (P < 0.001) and surgical durations (P = 0.022) compared to the ultrasound-guided group. Additionally, postoperative assessments showed significant reductions in aspartate aminotransferase, B-type natriuretic peptide, and portal vein pressure in both groups. Notably, the DIT-guided group also showed significant reductions in total bilirubin (P = 0.001) and alanine aminotransferase (P = 0.023). CONCLUSION: The use of DIT for guiding TIPS procedures highlights its potential to enhance procedural efficiency and reduce surgical times in the treatment of esophagogastric variceal bleeding in patients with chronic hepatic schistosomiasis.

Do sperm factors influence embryonic aneuploidy? Long live the oocyte.

STUDY QUESTION: What is the impact of male age- and sperm-related factors on embryonic aneuploidy? SUMMARY ANSWER: Using a 3-fold analysis framework encompassing patient-level, embryo-level, and matching analysis, we found no clinically significant interactions between male age and sperm quality with embryo ploidy. WHAT IS KNOWN ALREADY: While the effect of maternal age on embryo chromosomal aneuploidy is well-established, the impact of male age and sperm quality on ploidy is less well-defined. STUDY DESIGN, SIZE, DURATION: This retrospective cohort study analyzed autologous preimplantation genetic testing for aneuploidy (PGT-A) and frozen embryo transfer cycles from December 2014 to June 2021. The study involved 11 087 cycles from 8484 patients, with a total of 35 797 embryos. PARTICIPANTS/MATERIALS, SETTING, METHODS: The aneuploidy rate, calculated as the ratio of aneuploid blastocysts to the total number of blastocysts biopsied in a single treatment cycle, was evaluated. In the embryo-level analysis, the main outcome measure was the ploidy state of the embryos. The study employed a multifaceted analytical approach that included a patient-level analysis using generalized linear mixed models, an embryo-level analysis focusing on chromosomal ploidy, and a propensity score matching analysis contrasting groups with distinct ploidy rates (0% and 100%). There were no interventions as this was an observational study of PGT-A cycles. MAIN RESULTS AND THE ROLE OF CHANCE: No clinically relevant factors influencing ploidy rate related to male and sperm quality were revealed. In contrast, female age (coefficient = -0.053), BMI (coefficient = 0.003), prior ART cycle (coefficient = -0.066), and number of oocytes retrieved (coefficient = -0.018) were identified at the patient level. Embryo analysis identified age (coefficient = -0.1244) and ICSI usage (coefficient = -0.0129) as significant factors. Despite these, no significant interactions between male and female assessed factors on the ploidy rate emerged. Propensity score matching between maximal (100% vs 0%) euploid rates did not reveal significant differences of influence by male age and sperm quality. LIMITATIONS, REASONS FOR CAUTION: The focus on patients having blastocyst biopsy for PGT-A may not reflect the broader IVF population. Other semen quality parameters like DNA fragmentation were not included. Exclusion of embryo mosaicism from the analysis could affect aneuploidy rate interpretations. There may also be unmeasured influences like lifestyle or environmental factors. WIDER IMPLICATIONS OF THE FINDINGS: Male age and sperm quality parameters were consistent across both maximal and minimal ploidy rate comparisons. No significant clinical characteristics related to the factors assessed for the male-influenced blastocyst ploidy status, confirming the dominancy of the oocyte and female age. STUDY FUNDING/COMPETING INTEREST(S): The study was not funded. There are no competing interests. TRIAL REGISTRATION NUMBER: N/A.

Artificial intelligence-powered chatbots in search engines: a cross-sectional study on the quality and risks of drug information for patients.

BACKGROUND: Search engines often serve as a primary resource for patients to obtain drug information. However, the search engine market is rapidly changing due to the introduction of artificial intelligence (AI)-powered chatbots. The consequences for medication safety when patients interact with chatbots remain largely unexplored. OBJECTIVE: To explore the quality and potential safety concerns of answers provided by an AI-powered chatbot integrated within a search engine. METHODOLOGY: Bing copilot was queried on 10 frequently asked patient questions regarding the 50 most prescribed drugs in the US outpatient market. Patient questions covered drug indications, mechanisms of action, instructions for use, adverse drug reactions and contraindications. Readability of chatbot answers was assessed using the Flesch Reading Ease Score. Completeness and accuracy were evaluated based on corresponding patient drug information in the pharmaceutical encyclopaedia drugs.com. On a preselected subset of inaccurate chatbot answers, healthcare professionals evaluated likelihood and extent of possible harm if patients follow the chatbot's given recommendations. RESULTS: Of 500 generated chatbot answers, overall readability implied that responses were difficult to read according to the Flesch Reading Ease Score. Overall median completeness and accuracy of chatbot answers were 100.0% (IQR 50.0-100.0%) and 100.0% (IQR 88.1-100.0%), respectively. Of the subset of 20 chatbot answers, experts found 66% (95% CI 50% to 85%) to be potentially harmful. 42% (95% CI 25% to 60%) of these 20 chatbot answers were found to potentially cause moderate to mild harm, and 22% (95% CI 10% to 40%) to cause severe harm or even death if patients follow the chatbot's advice. CONCLUSIONS: AI-powered chatbots are capable of providing overall complete and accurate patient drug information. Yet, experts deemed a considerable number of answers incorrect or potentially harmful. Furthermore, complexity of chatbot answers may limit patient understanding. Hence, healthcare professionals should be cautious in recommending AI-powered search engines until more precise and reliable alternatives are available.

Impact of Virtual Navigation on the Education and Access of Patients with Cancer: A National Mixed Methods Investigation.

Introduction: Despite growing evidence of efficacy, oncology patient navigation is not ubiquitously offered. Navigation may reduce barriers to cancer care, yet geographic location may limit patient access. To overcome geographical barriers and increase patient education in oncology, our medical center developed a virtual navigation program. Objective: To examine the efficacy of the Virtual Navigation Program designed to increase patient access and education across local and national contexts. Methods: In this mixed-methods study, a total of 105 individuals completed an online survey administered nationally to oncology patients who used the navigation program. Clinical and demographic data were collected. Nonparametric tests were used for group comparisons (Wilcoxon Signed-Ranks test). Results: Virtual navigation increased access as the majority of patients utilized the Virtual Navigation Program beyond the local area; 42% of patients were local; 58% were patients located across the US. 55 (52%) were female; 25% were non-White. Pancreatic cancer was the largest tumor type: 51 (49%). Patients agreed the virtual cancer education helped them make critical health choices (mean 4.89 SD = 84); understand their diagnosis (mean 4.44 SD = .77); were able to make informed decisions (mean 4.43 SD = .83), and empowered to manage their cancer care (mean 4.58 SD = .82). Post navigation, the user experience survey revealed significant increases in a subset of patients' cancer knowledge (P < 0.001), access to quality cancer education (P = 0.045), decision-making in cancer care (P < 0.05), and coordinated cancer care (P = 0.03). Conclusion: This study explores a unique role that virtual navigation may play in helping accommodate healthcare for many cancer patients in underserved areas. The use of innovative aspects of research and education in virtual navigation may be successful in promoting patient empowerment in the cancer continuum. Internet-strategies are needed to inform sustainable patient navigation in low-resource contexts.

A Tale of 102,726 Messages: Characterizing the Modern Urologist's Portal Message Burden After Common Urologic Surgeries.

INTRODUCTION: We aimed to characterize patient portal messaging use after urologic surgery to identify administrative burden and evaluate postoperative clinical associations. METHODS: Epic was queried for all urologic surgeries performed at the Mayo Clinic enterprise between 2019 and 2022. Data from the highest volume procedures were extracted including patient-generated portal messages to their provider and emergency department (ED) visits within 6 months of surgery. Factors associated with portal users and message volume, as well as the impact of portal use on risk of subsequent ED visit, were evaluated. RESULTS: We analyzed data from 23,621 urologic procedures, which generated 102,726 patient portal messages within 6 months of surgery. We found that 55% of our cohort sent at least 1 message. Stratifying by subspecialty, endourologic surgeries generated the fewest number of messages per surgery (3.83; SD, 8.76), whereas female pelvic medicine and reconstructive surgeries yielded the most (6.05; SD, 10.92). Younger age, female sex, and White race were associated with increased portal utilization. Multivariable time-to-event analysis revealed a 33% reduction in the risk of ED presentation within 90 days after surgery for patients using the patient portal compared with those who did not. CONCLUSIONS: While only half of patients sent portal messages after surgery, active users showed a 33% reduction in ED visits, suggesting its potential to reduce health care utilization. Encouraging broader portal adoption can improve outcomes. However, the message burden for urologists necessitates solutions. Resource allocation should prioritize strategies to help urologists manage messages while preserving the established clinical benefits.

Langerhans cell histiocytosis in children born after assisted reproductive technology.

RESEARCH QUESTION: Are children born after assisted reproductive technology (ART) at higher risk of developing Langerhans cell histiocytosis (LCH)? DESIGN: Records of children born after ART recorded by the UK Human Fertilisation & Embryology Authority were linked to National Registry of Childhood Tumours records to determine the number of children developing LCH. Calculated person-years at risk were used in conjunction with the incidence of LCH in the general population to determine the expected number of cases if the cohort had the same incidence as the general population with similar age and sex, over the same calendar years. The standardized incidence ratio (SIR) was derived as the ratio of observed to expected cases. Exact 95% CI were calculated. RESULTS: In total, 118,155 children born after ART contributed 796,633 person-years follow-up (average follow-up 6.74 years). Eight cases of LCH were identified, compared with 3.75 cases expected (SIR 2.135, 95% CI 0.92-4.21; P = 0.074). Significantly more cases were associated with intracytoplasmic sperm injection (ICSI) (SIR 4.02, 95% CI 1.31-9.39) and male factor infertility (SIR 5.41, 95% CI 1.47-13.84). Most cases of LCH had single-system disease (n = 6). CONCLUSIONS: This study found that significantly more cases of LCH were identified in children born after ICSI and in children whose parents had male factor infertility. A non-significant excess of cases in children born after ART was identified. Absolute excess risk was small. Given the rarity of LCH and the small number of cases included in this large cohort, further studies into the risk of LCH in children born after ART are indicated.

A review of deep learning approaches for multimodal image segmentation of liver cancer.

This review examines the recent developments in deep learning (DL) techniques applied to multimodal fusion image segmentation for liver cancer. Hepatocellular carcinoma is a highly dangerous malignant tumor that requires accurate image segmentation for effective treatment and disease monitoring. Multimodal image fusion has the potential to offer more comprehensive information and more precise segmentation, and DL techniques have achieved remarkable progress in this domain. This paper starts with an introduction to liver cancer, then explains the preprocessing and fusion methods for multimodal images, then explores the application of DL methods in this area. Various DL architectures such as convolutional neural networks (CNN) and U-Net are discussed and their benefits in multimodal image fusion segmentation. Furthermore, various evaluation metrics and datasets currently used to measure the performance of segmentation models are reviewed. While reviewing the progress, the challenges of current research, such as data imbalance, model generalization, and model interpretability, are emphasized and future research directions are suggested. The application of DL in multimodal image segmentation for liver cancer is transforming the field of medical imaging and is expected to further enhance the accuracy and efficiency of clinical decision making. This review provides useful insights and guidance for medical practitioners.

Algorithm-based Mobile Texting Platform for the Self-management of Interstitial Cystitis/Bladder Pain Syndrome: Pilot Study Evaluating Feasibility, Usability and Potential Utility.

INTRODUCTION: We developed an algorithm-based mobile texting platform for promoting self-management in patients with interstitial cystitis/bladder pain syndrome (IC/BPS). Our aim was to measure the feasibility, usability, and potential utility of the platform. MATERIAL AND METHODS: A texting platform that delivered four treatment modules (education and behavioral modification, cognitive behavioral therapy, pelvic floor physical therapy, and guided mindfulness practices) and an automated weekly message over six weeks was developed. Feasibility and usability were determined using patient engagement (proportion of platform messages to which patients responded) and System Usability scale. Satisfaction with patient-physician communication questionnaire, Pain Self-Efficacy Scale, and Interstitial Cystitis Symptom and Problem Index were administered before and after the intervention. RESULTS: Engagement with the platform in 52 female patients with IC/BPS [median age (IQR) 40 (30-48) years] was 76.9%. The commonest module selected by patients was pelvic floor physical therapy (50%) followed by cognitive behavioral therapy (34%), and guided mindfulness (15%). System Usability score (median, IQR) was 87 (83-95), indicating high usability. Satisfaction with patient-physician communication improved significantly (median change 4, IQR 1-9, p< .001). Pain self-efficacy score improved from moderate impairment at baseline to minimal impairment at six weeks (median change 10, IQR 2-18, p < .001). Urinary symptoms scores also improved (median change Interstitial Cystitis Symptom Index -3, IQR -5, -1.5, p < .001, Problem Index -2, IQR 5.5, -0.5, p <.001). CONCLUSION: An automated mobile platform has the potential for improving access to self-management strategies and easing clinicians' challenge of counseling IC/BPS patients during time-limited in-person visits.

mHealth Apps in the Digital Marketplace for Pediatric Patients With Cancer: Systematic Search and Analysis.

Background: The substantial increase in smartphone ownership has led to a rise in mobile health (mHealth) app use. Developing tailored features through mHealth apps creates a pathway to address the health care needs of pediatric patients with cancer and their families who have complex care needs. However, few apps are designed specifically to integrate with pediatric cancer care. Objective: This study reports a systematic search and analysis of mHealth apps available on the Apple App (iOS) and Google Play (Android) stores designed for pediatric cancer through a list of features that serve (1) patients, (2) caregivers, or (3) both audiences. Methods: Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we reviewed apps for pediatric patients with cancer and caregivers available as of January 30, 2024. We searched the Apple App and Google Play stores with a list of keyword combinations focusing on pediatric cancer care. The inclusion criteria were (1) specifically apps targeted toward pediatric patients with cancer, their families, or both; (2) available in either app store; and (3) available in English. Apps were assessed using the Mobile Application Rating Scale (MARS). The MARS is a quality assessment for mHealth apps, including components of engagement, functionality, aesthetics, and informational quality (5-point Likert scale items-1: low and 5: high quality). Results: In total, 22 apps were identified and 17 of those apps were available on both platforms. The most popular features (n=12) were resource sharing, symptom tracking, reminders, care team connections, journaling, community support, medication tracking, data visualizations, and appointment tracking. Features and interfaces were designed for caregivers (n=9) more frequently than the patients (n=7) while a subset of apps created options for both users (n=6). A total of 16 apps received positive reviews (mean 4.4, SD 0.59; Min=3.1, Max=5.0). A small subset (n=3) achieved over 5000 downloads; however, the majority (n=15) had fewer than 500. More than half (n=12) of the apps were not available in English. Apps requested access to a range of device functionalities to operate (mean 2.72, SD 3.13; Min=0, Max=10). Out of 22, a total of 17 apps were publicly accessible. The mean MARS scores for the apps ranged from 1.71 (SD 0.75) to 4.33 (SD 0.82). Overall, apps scored high on functionality (mean 3.72, SD 0.54) but low on engagement (mean 3.02, SD 0.93). Conclusions: Our review highlights the promising yet underdeveloped potential of mHealth apps in pediatric oncology care, underscoring the need for more inclusive, comprehensive, and integrative digital health solutions. Future developments should actively involve key stakeholders from the pediatric oncology community, including patients, families, and health care professionals, to ensure the apps meet specific needs while addressing linguistic and cultural barriers.

Rapid and noninvasive estimation of human arsenic exposure based on 4-photo-set of the hand and foot photos through artificial intelligence.

Chronic exposure to arsenic is linked to the development of cancers in the skin, lungs, and bladder. Arsenic exposure manifests as variegated pigmentation and characteristic pitted keratosis on the hands and feet, which often precede the onset of internal cancers. Traditionally, human arsenic exposure is estimated through arsenic levels in biological tissues; however, these methods are invasive and time-consuming. This study aims to develop a noninvasive approach to predict arsenic exposure using artificial intelligence (AI) to analyze photographs of hands and feet. By incorporating well water consumption data and arsenic concentration levels, we developed an AI algorithm trained on 9988 hand and foot photographs from 2497 subjects. This algorithm correlates visual features of palmoplantar hyperkeratosis with arsenic exposure levels. Four pictures per patient, capturing both ventral and dorsal aspects of hands and feet, were analyzed. The AI model utilized existing arsenic exposure data, including arsenic concentration (AC) and cumulative arsenic exposure (CAE), to make binary predictions of high and low arsenic exposure. The AI model achieved an optimal area under the curve (AUC) values of 0.813 for AC and 0.779 for CAE. Recall and precision metrics were 0.729 and 0.705 for CAE, and 0.750 and 0.763 for AC, respectively. While biomarkers have traditionally been used to assess arsenic exposure, efficient noninvasive methods are lacking. To our knowledge, this is the first study to leverage deep learning for noninvasive arsenic exposure assessment. Despite challenges with binary classification due to imbalanced and sparse data, this approach demonstrates the potential for noninvasive estimation of arsenic concentration. Future studies should focus on increasing data volume and categorizing arsenic concentration statistics to enhance model accuracy. This rapid estimation method could significantly contribute to epidemiological studies and aid physicians in diagnosis.

Modification of transvaginal polypropylene mesh with co-axis electrospun nanofibrous membrane to alleviate complications following surgical implantation.

BACKGROUND: Surgeries for treating pelvic organ prolapse involving the utilization of synthetic mesh have been associated with complications such as mesh erosion, postoperative pain, and dyspareunia. This work aimed to reduce the surgical implantation-associated complications by nanofibrous membranes on the surface of the polypropylene mesh. The nanofiber of the nanofibrous membrane, which was fabricated by co-axial electrospinning, was composed of polyurethane as fiber core and gelatin as the fiber out layer. The biocompatibility of the modified mesh was evaluated in vitro by cell proliferation assay, immunofluorescence stain, hematoxylin-eosin (HE) staining, and mRNA sequencing. Polypropylene mesh and modified mesh were implanted in a rat pelvic organ prolapse model. Mesh-associated complications were documented. HE and Picro-Sirius red staining, immunohistochemistry, and western blotting were conducted to assess the interactions between the modified mesh and vaginal tissues. RESULTS: The modified mesh significantly enhanced the proliferation of fibroblasts and exerted a positive regulatory effect on the extracellular matrix anabolism in vitro. When evaluated in vivo, no instances of mesh exposure were observed in the modified mesh group. The modified mesh maintained a relatively stable histological position without penetrating the muscle layer or breaching the epidermis. The collagen content in the vaginal wall of rats with modified mesh was significantly higher, and the collagen I/III ratio was lower, indicating better tissue elasticity. The expression of metalloproteinase was decreased while the expression levels of tissue inhibitor of metalloproteinase were increased in the modified mesh group, suggesting an inhibition of collagen catabolism. The expression of TGF-ß1 and the phosphorylation levels of Smad3, p38 and ERK1/2 were significantly increased in the modified mesh group. NM significantly improved the biocompatibility of PP mesh, as evidenced by a reduction in macrophage count, decreased expression levels of TNF-α, and an increase in microvascular density. CONCLUSIONS: The nanofibrous membrane-coated PP mesh effectively reduced the surgical implantation complications by inhibiting the catabolism of collagen in tissues and improving the biocampibility of PP mesh. The incorporation of co-axial fibers composed of polyurethane and gelatin with polypropylene mesh holds promise for the development of enhanced surgical materials for pelvic organ prolapse in clinical applications.

Multi-omics analysis reveal the fall armyworm Spodoptera frugiperda tolerate high temperature by mediating chitin-related genes.

Climate change facilitates the rapid invasion of agricultural pests, threatening global food security. The fall armyworm Spodoptera frugiperda is a highly polyphagous migratory pest tolerant to high temperatures, allowing its proliferation in harsh thermal environments. We aimed to demonstrate mechanisms of its high-temperature tolerance, particularly transcriptional and metabolic regulation, which are poorly understood. To achieve the aim, we examined the impact and mechanism of heat events on S. frugiperda by using multiple approaches: ecological measurements, transcriptomics, metabolomics, RNAi, and CRISPR/Cas9 technology. We observed that several physiological indices (larval survival rate, larval period, pupation rate, pupal weight, eclosion rate, and average fecundity) decreased as the temperature increased, with the 32 °C treatment displaying a significant difference from the control group at 26 °C. Significantly upregulated expression of genes encoding endochitinase and chitin deacetylase was observed in the chitin-binding, extracellular region, and carbohydrate metabolic process GO terms of hemolymph, fat body, and brain, exhibiting a tissue-specific pattern. Significantly enriched pathways (e.g., cutin, suberin, and wax biosynthesis; oxidative phosphorylation and cofactor biosynthesis; diverse amino acid biosynthesis and degradation; carbon metabolism; and energy metabolism), all of which are essential for S. frugiperda larvae to tolerate temperature, were found in metabolites that were expressed differently. Successful RNA interference targeting of the three chitin-related genes reduced gene expression levels and larval survival rate. Knockout of the endochitinase gene by using the CRISPR/Cas9 system significantly reduced the relative gene expression and increased sensitivity to high-temperature exposure. On the basis of our findings, theoretical foundations for understanding the high-temperature tolerance of S. frugiperda populations and latent genetic control strategies were established.

Hospice educators' perspectives on e-learning in palliative care education in Ireland.

BACKGROUND: Knowledge of and understanding the palliative care approach should be a core competency in all healthcare settings. E-learning offers the potential to deliver palliative care education and meet this challenge. AIM: To examine hospice educator's perspectives of e-learning in palliative care education. METHODS: Semi-structured interviews were conducted with a purposeful sample of hospice educators on the island of Ireland (Republic of Ireland and Northern Ireland). These were transcribed and the data was analysed thematically. FINDINGS: Many factors were considered when using e-learning: objectives of the programme, learner's characteristics, topic suitability (as palliative care is very emotive) and organisational factors. Barriers to using e-learnning were the preparation time required and developing expertise in e-learning. Support mechanisms for hospice educators to share knowledge would be beneficial. CONCLUSIONS: Educators were keen to adopt a blended approach in their teaching. While acknowledging the challenges and limitations of e-learning, educators felt that e-learning has a positive role in palliative care education.